Head of Data Science / Machine Learning

We need an innovative and hands-on Head of Data Science / Machine Learning to join our growing team. Our goal is to create economic opportunity for businesses and local professionals globally. We believe AI and machine learning will be key factors across our products and company in accelerating our mission.

Who You Are:

• BA/BS in Math, Statistics, Physics, Computer Science, or other quantitative fields
• Advanced degrees preferred but not required, e.g. PhD or Masters Physics, CS, Stats, etc.
• 12-15+ years experience doing quantitative analysis, modeling and pushing ML into production
• Entrepreneurial mindset with a mix of startup and large scale experience, bonus points for being a co-founder
• Advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, or similar) and experience with applications
• Deep understanding of machine learning techniques (clustering, decision tree learning, artificial neural networks, or similar) and their real-world advantages/drawbacks
• Strong communication and presentation skills with a natural executive presence
• Past experience acting as a technical lead or manager of small-to-medium sized teams
• Expert level fluency using languages like Python & SQL to manipulate data and draw insights from large data sets
• Working knowledge of common web/mobile architectures, data pipelines, CI/CD processes, etc.
• Strong understanding of DBT or other similar data transformation/organization methodologies
• Strong understanding of the dynamics around two-sided marketplaces and/or other complex business models, with an emphasis on product acumen
• Experience with BI tools (e.g. Mode, Tableau, Looker)

What You'll Do:

• Lead a small team of ML engineers and eventually grow a global team over the coming months and years
• Spend 70% of your time hands-on (building/integrating new models) and 30% of your time defining our ML strategy and managing the team
• Optimize the team for speed and impact over patience and precision
• Own a portfolio of proprietary and third party platforms needed for day-to-day execution like MLOps, experimentation systems, and data transformation pipelines (DBT)
• Deliver best-in-class technical approach and problem analysis documents
• Impact key company objectives by working closely with Product to refine our roadmap
• Build/maintain reports, dashboards, and metrics to monitor the performance of our products
• Act as a data evangelist to create a data-driven culture across the company and provide mentorship/feedback to analysts and other data-minded stakeholders

For CA based applicants:

• The base salary for this position is$230,000 - $265,000
• This position is eligible for equity in the form of stock options
• This position is eligible for Instawork benefits, including:
• • A variety of medical, dental, and vision plans with coverage beginning on the date of hire
  • Flexible paid time off
  • At least 8 paid company holidays annually
  • Home office stipend
  • Phone stipend
  • Commuter stipend
  • Supplemental pay on qualified leaves
  • Employee health savings accounts (HSA) contribution
  • Flexible spending plans
  • 401K plan
  • Perkspot - discount program through Lumity

A variety of factors are considered when determining someone's compensation including a candidate's professional background, experience, and location. Final offer amounts may vary from the amounts listed above.

Instawork Values:

• Bias for Action - We are a growing team and an evolving product. We want a team of do'ers to drive the company forward, even if it means making decisions with incomplete information or being wrong.
• Act Like an Owner - Treat this company as though it is your own. Execute on the fundamentals, and act creatively to drive growth. Your ability to drive impact in any part of our company is only limited by your courage and conviction, not your job title.
• Always Be Learning - We are changing an entire industry. We strive to learn from each other and get better each day, week, and month, so that our team's learnings can compound and we can all improve, together.
• Empathy, Trust, Candor - Empathy for our business partners and professionals means we put ourselves in their shoes. Empathy for our colleagues means we are always upfront and honest with each other, which comes from trust.